Voice Authentication Server Using User Characteristics and Text History
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Solution Overview
Problem
Existing speech recognition systems face challenges in user convenience and security when multiple users need to input account information for various services, leading to inefficiencies and potential security risks.
Innovation Solution
A server and system that utilize speech recognition technology to register and identify users based on voice, improving accuracy through user characteristics and updating databases with usage history, enabling seamless and secure user authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users directly input account information to log in to services, then service access is achieved, but user convenience deteriorates due to the need to input information one by one
Solution Approach 1:
The patent replaces the mechanical input method (keyboard typing) with voice-based speech recognition technology. Users can log in by speaking their account information instead of manually typing it, significantly improving convenience and reducing the time required for authentication across multiple services.
Solution Approach 2:
The patent creates a universal voice recognition system that can be applied across multiple services and platforms. Once users register their voice patterns, the system provides consistent authentication across different services, eliminating the need to input account information separately for each service.
2Ease of operation
If users remain logged in to eliminate input inconvenience, then operation convenience improves, but security deteriorates due to potential unauthorized access
Solution Approach 1:
The patent implements dynamic authentication that adapts to different situations. The system can switch between voice recognition for initial login and other verification methods for sensitive operations. Voice patterns are continuously monitored to detect unauthorized users, providing both convenience and security through adaptive authentication.
Solution Approach 2:
The patent introduces voice biometrics as an intermediary authentication layer between traditional login methods and account access. Instead of simply remaining logged in or requiring repeated manual input, the system uses voice pattern recognition as a continuous verification mechanism that maintains security while preserving convenience.
3Adaptability or versatility
If multiple users share one electronic device, then device utilization improves, but operation complexity increases due to multiple logins required
Solution Approach 1:
The patent enables the device to automatically identify and authenticate different users through voice recognition. When a user approaches the device, the system automatically detects their voice pattern and logs them in without requiring manual intervention, making device sharing as simple as speaking.
Solution Approach 2:
The patent performs preliminary voice pattern registration during the setup phase. This preliminary action stores multiple users' voice characteristics in advance, enabling the system to quickly and automatically distinguish between different users during subsequent device interactions without requiring real-time input from users.
Data Source
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AI summary
A server and a system including the same are disclosed. The server according to one embodiment of the present disclosure comprises a communication interface that communicates with an electronic device, a database that stores usage histories of text usage classified by characteristics, and a controller, wherein the controller generates a plurality of first texts corresponding to a voice signal received from the electronic device, generates first identification information corresponding to the voice signal, obtains one or more user characteristics corresponding to the voice signal based on the first identification information, determines a second text corresponding to the voice signal among the plurality of first texts based on a first text history describing how each of the plurality of first texts is used in association with the user characteristics among the usage histories of text classified by characteristics, and transmits a result of performing intent analysis for the second text to the electronic device.